cainsmile / GA_for_Feature_SelectionLinks
使用遗传算法结合决策树做特征选择/Using genetic algorithm for feature selection with decision tree
☆25Updated 7 years ago
Alternatives and similar repositories for GA_for_Feature_Selection
Users that are interested in GA_for_Feature_Selection are comparing it to the libraries listed below
Sorting:
- 基于遗传算法的特征选择☆128Updated 5 years ago
- 数据预处理之缺失值处理,特征选择☆21Updated 6 years ago
- Oversampling for imbalanced learning based on k-means and SMOTE☆128Updated 4 years ago
- feature selections and extractions☆88Updated last year
- Cost-Sensitive Learning / ReSampling / Weighting / Thresholding / BorderlineSMOTE / AdaCost / etc.☆108Updated 4 years ago
- 集成学习Stacking方法详解☆76Updated 5 years ago
- 常用的特征选择方法☆68Updated 3 years ago
- AutoEncoder implements by keras. Including AE, DAE, DAE_CNN, VAE, VAE_CNN, CVAE, Sparse AE, Stacked DAE.☆41Updated 5 years ago
- here is the introduce of bls☆69Updated 4 years ago
- Weighted LSSVM for regression☆38Updated 6 years ago
- Oversampling method based on relative density☆13Updated 4 years ago
- 类别不平衡学习,包括采样、代价敏感学习、决策输出补偿以及集成学习等内容☆36Updated 4 years ago
- Autoencoders in PyTorch☆101Updated 5 years ago
- ☆68Updated 4 years ago
- A Particle Swarm Optimization (PSO) for Feature Selection. Using PySwarm.☆53Updated 7 years ago
- Creating tabular GAN on credit card dataset☆20Updated 5 years ago
- The python implementation of tri-triaing☆51Updated 6 years ago
- 支持向量机(SVM)——分类预测,包括多分类问题,核函数调参,不平衡数据问题,特征降维,网格搜索,管道机制,学习曲线,混淆矩阵,AUC曲线等☆53Updated 7 years ago
- 机器学习集成模型之Stacking各类模型及工具源码☆118Updated 4 years ago
- Hierarchical Electricity-theft Behavior Recognition☆21Updated 5 years ago
- BLS Code☆126Updated 6 years ago
- Learning and Recording☆34Updated 5 years ago
- 包含一些比较常见的数据挖掘竞赛或者项目的源码☆129Updated 6 years ago
- A convolutional autoencoder for feature extraction, with an SVM for image classification.☆10Updated 6 years ago
- Implementations of various feature selection methods☆24Updated 4 years ago
- 基于KNN聚类算法结合Dynamic Time Warping(动态时间调整)的 时间序列分类☆62Updated 6 years ago
- 使用5-6个模型(可以是knn svm 贝叶斯等等)用投票的方式做一个集成学习对MNIST数据集进行分类。☆24Updated 6 years ago
- Use Genetic Algorithm and Simulate Anneal for feature selection. 用遗传算法/模拟退火算法进行特征选择.☆30Updated 5 years ago
- PSO algorithm for multi-parameters optimizaiton☆66Updated 6 years ago
- Theano implementation of Cost-Sensitive Deep Neural Networks☆26Updated 7 years ago